World's Best Scientists 2026 revealed!
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Liang Gao
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Computer Science
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 101 354 343 42 40 721 36629

Liang Gao publications per year

The chart shows the history of publications by Liang Gao between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Liang Gao published across 23 years, from 2003 to 2025, averaging 59.1 papers a year. Output peaked at 155 publications in 2019. 246 of the 1,360 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 155. Peak 155 publications in 2019. 2003: 1 publication 2004: 1 publication 2005: 2 publications 2006: 11 publications 2007: 4 publications 2008: 12 publications 2009: 24 publications 2010: 37 publications 2011: 25 publications 2012: 22 publications 2013: 38 publications 2014: 33 publications 2015: 40 publications 2016: 53 publications 2017: 45 publications 2018: 77 publications 2019: 155 publications 2020: 145 publications 2021: 132 publications 2022: 106 publications 2023: 151 publications 2024: 122 publications 2025: 124 publications
2003 2025

1,360 publications in total across all disciplines

View publications per year as a table
Liang Gao: publications per year, 2003 to 2025
Year Publications
2003 1
2004 1
2005 2
2006 11
2007 4
2008 12
2009 24
2010 37
2011 25
2012 22
2013 38
2014 33
2015 40
2016 53
2017 45
2018 77
2019 155
2020 145
2021 132
2022 106
2023 151
2024 122
2025 124
Total 1,360
Download as CSV

Liang Gao publications per year - data summary

  • Liang Gao, a Computer Science scholar from Huazhong University of Science and Technology, has 1,360 publications recorded across 23 years, from 2003 to 2025.
  • The oldest publication on record dates to 2003 and the most recent to 2025.
  • The most productive year is 2019, with 155 publications.
  • The least productive years with any output are 2003 and 2004, with 1 publication each.
  • The rate of publication averages 59.1 papers per year over the whole span, or 59.1 per year counting only the 23 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 635 publications, 47% of the career total.
  • Split into equal eras - 2003-2010: 92 publications (11.5 per year); 2011-2018: 333 publications (41.6 per year); 2019-2025: 935 publications (133.6 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Liang Gao publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Liang Gao sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 712–721 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 721 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12 721
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Liang Gao publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Liang Gao, a Computer Science scholar from Huazhong University of Science and Technology, records 721 publications - the 98th percentile of the discipline.
  • 98% of ranked Computer Science scientists score the same or lower than Liang Gao, and about 2% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Liang Gao ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Liang Gao D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Liang Gao sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 100–101 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 101 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36 101
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Liang Gao D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Liang Gao, a Computer Science scholar from Huazhong University of Science and Technology, records 101 D-Index - the 98th percentile of the discipline.
  • 98% of ranked Computer Science scientists score the same or lower than Liang Gao, and about 2% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Liang Gao ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Liang Gao is affiliated with Huazhong University of Science and Technology in China and works primarily in the field of Engineering. Their research spans several subfields including Industrial and Manufacturing Engineering, Civil and Structural Engineering, Artificial Intelligence, Control and Systems Engineering, and Electrical and Electronic Engineering.

The main research topics Liang Gao has focused on include:

  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Topology Optimization in Engineering
  • Advanced Multi-Objective Optimization Algorithms
  • Assembly Line Balancing Optimization
  • Advanced Battery Technologies Research
  • Manufacturing Process and Optimization

Liang Gao has authored or coauthored research papers published in frequent venues such as:

  • Swarm and Evolutionary Computation
  • Computer Methods in Applied Mechanics and Engineering
  • Journal of Manufacturing Systems
  • SSRN Electronic Journal
  • Robotics and Computer-Integrated Manufacturing

Recent notable papers by Liang Gao include:

  • "An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems" (2020), published in IEEE Transactions on Cybernetics
  • "A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence" (2021), published in Journal of Manufacturing Systems
  • "Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China" (2020), published in IEEE Transactions on Industrial Informatics
  • "A Surrogate-Assisted Multiswarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems" (2020), published in IEEE Transactions on Cybernetics
  • "Robustly printable freeform thermal metamaterials" (2021), published in Nature Communications

The scientist has collaborated extensively with coauthors including:

  • Xinyu Li
  • Mi Xiao
  • Akhil Garg
  • Weiming Shen
  • Wei Li

Liang Gao has also contributed to several book publications released by Springer Nature, such as:

  • "Isogeometric Topology Optimization" (2022)
  • "Effective Methods for Integrated Process Planning and Scheduling" (2020)
  • "Welding and Cutting Case Studies with Supervised Machine Learning" (2020)
  • "Intelligence Optimization for Green Scheduling in Manufacturing Systems" (2023)

Best Publications

  • A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

    Long Wen;Xinyu Li;Liang Gao;Yuyan Zhang

  • A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis

    Long Wen;Liang Gao;Xinyu Li

  • A transfer convolutional neural network for fault diagnosis based on ResNet-50

    Long Wen;Xinyu Li;Liang Gao

  • An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem

    Guohui Zhang;Xinyu Shao;Peigen Li;Liang Gao

  • An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem

    Xinyu Li;Liang Gao

  • An effective genetic algorithm for the flexible job-shop scheduling problem

    Guohui Zhang;Liang Gao;Yang Shi

  • Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm

    Chao Lu;Liang Gao;Xinyu Li;Quanke Pan

  • An improved fruit fly optimization algorithm for continuous function optimization problems

    Quan-Ke Pan;Quan-Ke Pan;Hong-Yan Sang;Jun-Hua Duan;Liang Gao

  • Integration of process planning and scheduling-A modified genetic algorithm-based approach

    Xinyu Shao;Xinyu Li;Liang Gao;Chaoyong Zhang

  • Parameter extraction of photovoltaic models using an improved teaching-learning-based optimization

    Shuijia Li;Wenyin Gong;Xuesong Yan;Chengyu Hu

  • Cellular particle swarm optimization

    Yang Shi;Hongcheng Liu;Liang Gao;Guohui Zhang

  • Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem

    Quan-Ke Pan;Quan-Ke Pan;Liang Gao;Ling Wang;Jing Liang

  • A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem

    Xiaojuan Wang;Liang Gao;Chaoyong Zhang;Xinyu Shao

  • Queuing search algorithm: A novel metaheuristic algorithm for solving engineering optimization problems

    Jinhao Zhang;Mi Xiao;Liang Gao;Quanke Pan

  • A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence

    Yiping Gao;Xinyu Li;Xi Vincent Wang;Lihui Wang

  • A novel mathematical model and multi-objective method for the low-carbon flexible job shop scheduling problem

    Lvjiang Yin;Xinyu Li;Liang Gao;Chao Lu

  • An adaptive process planning approach of rapid prototyping and manufacturing

    G.Q. Jin;W.D. Li;L. Gao

  • Review on flexible job shop scheduling

    Jin Xie;Liang Gao;Kunkun Peng;Xinyu Li

  • Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning

    Yuyan Zhang;Xinyu Li;Liang Gao;Lihui Wang

  • A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry

    Chao Lu;Liang Gao;Xinyu Li;Shengqiang Xiao

  • An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems.

    Quan-Ke Pan;Liang Gao;Ling Wang

  • A differential evolution algorithm with self-adapting strategy and control parameters

    Quan-Ke Pan;P. N. Suganthan;Ling Wang;Liang Gao

  • A semi-supervised convolutional neural network-based method for steel surface defect recognition

    Yiping Gao;Liang Gao;Xinyu Li;Xuguo Yan

  • Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling

    Xinyu Li;Liang Gao;Xinyu Shao;Chaoyong Zhang

Frequent Co-Authors

Xinyu Li
Xinyu Li Huazhong University of Science and Technology
Akhil Garg
Akhil Garg Huazhong University of Science and Technology
Quan-Ke Pan
Quan-Ke Pan Shanghai University
Xinyu Shao
Xinyu Shao Huazhong University of Science and Technology
Peigen Li
Peigen Li Huazhong University of Science and Technology
Chao Lu
Chao Lu China University of Geosciences, Wuhan
Weidong Li
Weidong Li Wuhan University of Technology
Zhen Luo
Zhen Luo University of Technology Sydney
Chaoyong Zhang
Chaoyong Zhang Huazhong University of Science and Technology
Weiming Shen
Weiming Shen Huazhong University of Science and Technology

External Links

Personal website of Liang Gao Google Scholar page

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Best Scientists Citing Liang Gao

Quan-Ke Pan

Quan-Ke Pan

Shanghai University

Publications: 67

Junqing Li

Junqing Li

Liaocheng University

Publications: 55

Akhil Garg

Akhil Garg

Huazhong University of Science and Technology

Publications: 54

Shou-Fu Tian

Shou-Fu Tian

China University of Mining and Technology

Publications: 45

Ling Wang

Ling Wang

Tsinghua University

Publications: 44

Lihui Wang

Lihui Wang

Royal Institute of Technology

Publications: 43

Xinyu Shao

Xinyu Shao

Huazhong University of Science and Technology

Publications: 38

Behrooz Keshtegar

Behrooz Keshtegar

Zabol University

Publications: 33

Zhenzhou Lu

Zhenzhou Lu

Northwestern Polytechnical University

Publications: 25

Kaizhou Gao

Kaizhou Gao

Macau University of Science and Technology

Publications: 24

Fei Tao

Fei Tao

Beihang University

Publications: 21

Wen-Xiu Ma

Wen-Xiu Ma

University of South Florida

Publications: 20

Chaoyong Zhang

Chaoyong Zhang

Huazhong University of Science and Technology

Publications: 20

Ali Asghar Heidari

Ali Asghar Heidari

National University of Singapore

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Publications: 19

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2027 How to Become a Mental Health Counselor in Newark, NJ: Education Requirements & Certification

2027 How to Become a Mental Health Counselor in Newark, NJ: Education Requirements & Certification